At a Glance
- Tasks: Join a dynamic team to design and build innovative data solutions.
- Company: Teza Technologies, a leader in systematic trading and data-driven strategies.
- Benefits: Health, visual and dental insurance, plus flexible sick time policy.
- Other info: Exciting growth potential with hands-on experience in a collaborative environment.
- Why this job: Make an impact in the financial industry while growing your technical skills.
- Qualifications: Proficient in Python, SQL, and cloud platforms; degree in relevant field required.
The predicted salary is between 70000 - 90000 £ per year.
About the Role
Teza Technologies is looking for Data Engineers to join our data team.
Data drives systematic trading and is critical to all aspects of the firm's business.
This is a hands-on position on a small team of data engineers with growth potential, as this team will grow rapidly over the next couple of years.
The firm is looking for outstanding technical skills, strong attention to detail, and experience architecting and building data platforms.
- Location
- Austin, TX / London, UK (in-office requirement)
Responsibilities
- Work directly with Portfolio Managers and Quantitative Developers to translate business requirements into technical solutions; be a resource to explain dataset details and nuances.
- Expand our data warehouse by designing and adding new sources and functionality; improve robustness, speed and scalability of our systems; manage data entitlements.
- Provide innovative data management, analytics and technology input to the team and management.
- Evaluate new tools and technologies suitable for organizing, querying and streaming large datasets.
- Design and build automated systems for data cleansing, anomaly detection, monitoring and alerting.
- Support our production data warehouse as required.
- Develop and maintain strong vendor relationships aligned with our business objectives.
- Basic Requirements
- Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation.
- Strong SQL knowledge and familiarity with No SQL databases (ideally Postgres and Mongo DB), including query optimization and performance tuning.
- Strong understanding of data modeling principles, including both normalization and denormalization techniques.
- Familiarity with cloud platforms, e. g. AWS or GCP.
- Experience with Git version control, collaborative workflows (e. g., Github), and understanding of CI/CD best practices.
- Bachelor’s degree in Computer Science, Information Technology or related field.
- Nice to Have Requirements
- Financial industry internships / experience are a plus.
- Experience with Java recommended.
- Experience with on-premises data infrastructure (e. g., Hadoop).
- Experience with Apache Airflow or similar workflow orchestration tools.
- An understanding of best practices for data modeling, including data normalization techniques.
- Master’s degree in Computer Science, Information Technology, Data Science or related field.
Benefits
- Health, visual and dental insurance
- Flexible sick time policy
- #J-18808-Ljbffr
Data Engineer employer: Teza Technologies
As a Portfolio Manager in Systematic Agriculture, you'll join a dynamic team in either Austin, TX or London, UK, where innovation meets expertise in agricultural markets. Our company fosters a collaborative work culture that encourages intellectual curiosity and offers ample opportunities for professional growth, allowing you to shape the future of systematic trading strategies while enjoying comprehensive health benefits and a flexible sick time policy.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Teza Technologies!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Teza Technologies.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Teza Technologies.
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We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Teza Technologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Teza Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Teza Technologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Teza Technologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
